Predicting long-term clinical stability in amyloid-positive subjects by FDG-PET.


Journal

Annals of clinical and translational neurology
ISSN: 2328-9503
Titre abrégé: Ann Clin Transl Neurol
Pays: United States
ID NLM: 101623278

Informations de publication

Date de publication:
Jun 2019
Historique:
received: 15 12 2018
revised: 13 03 2019
accepted: 01 04 2019
entrez: 19 6 2019
pubmed: 19 6 2019
medline: 19 6 2019
Statut: epublish

Résumé

Imaging biomarkers can be used to screen participants for Alzheimer's disease clinical trials. To test the predictive values in clinical progression of neuropathology change (amyloid-PET) or brain metabolism as neurodegeneration biomarker ([18F]FDG-PET), we evaluated data from

Identifiants

pubmed: 31211176
doi: 10.1002/acn3.782
pii: ACN3782
pmc: PMC6562030
doi:

Substances chimiques

Amyloid beta-Peptides 0
Biomarkers 0
Fluorodeoxyglucose F18 0Z5B2CJX4D

Types de publication

Journal Article

Langues

eng

Pagination

1113-1120

Subventions

Organisme : NIA NIH HHS
ID : U01 AG024904
Pays : United States

Déclaration de conflit d'intérêts

Nothing to report.

Références

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Auteurs

Leonardo Iaccarino (L)

Vita-Salute San Raffaele University Milan Italy.
In vivo Human Molecular and Structural Neuroimaging Unit Division of Neuroscience San Raffaele Scientific Institute Milan 20132 Italy.
Memory and Aging Center University of California San Francisco San Francisco California 94158.

Arianna Sala (A)

Vita-Salute San Raffaele University Milan Italy.
In vivo Human Molecular and Structural Neuroimaging Unit Division of Neuroscience San Raffaele Scientific Institute Milan 20132 Italy.

Daniela Perani (D)

Vita-Salute San Raffaele University Milan Italy.
In vivo Human Molecular and Structural Neuroimaging Unit Division of Neuroscience San Raffaele Scientific Institute Milan 20132 Italy.
Nuclear Medicine Unit IRCCS San Raffaele Hospital Milan 20132 Italy.

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Classifications MeSH